code: def teacher_predict(sample: torch.Tensor):
      return sample.reshape(10, 10, 10).mean(-1)
  
file_path: nni/test/algo/compression/distillation/test_distil_label_patcher.py
imports: from __future__ import annotations
  import hashlib
  import pytest
  import torch
  from torch.utils.data import Dataset, DataLoader
  from nni.contrib.distillation.label_patcher import DistilLabelPatcher
  from nni.contrib.distillation.uid_dataset import IndexedDataset, HashedDataset, AugmentationDataset
  from ..assets.common import log_dir
label_desc: Use image node_id 1 for calling a global function with example usage: teacher_predict(sample) and returns: sample